Extended Abstracts Fall 2015 Biomedical Big Data; Statistics for Low Dose Radiation Research /
This two-part volume gathers extended conference abstracts corresponding to selected talks from the "Biostatnet workshop on Biomedical (Big) Data" and from the "DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research", which wer...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Birkhäuser,
2017.
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| Σειρά: | Trends in Mathematics,
7 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- PART I
- Foreword
- Extreme Observations in Biomedical Data
- An Ordinal Joint Model for Breast Cancer
- Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction
- ntegrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissue After Ischemic Stroke
- Applying INAR-Hidden Markov Chains in the Analysis of Under-Reported Data
- Joint Modelling for Flexible Multivariate Longitudinal and Survival Data: Application in Orthotopic Liver Transplantation
- A Multi-State Model for the Progression to Osteopenia and Osteoporosis among HIV-Infected Patients
- Statistical Challenges for Human Microbiome Analysis
- Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon Study
- Topological Pathway Enrichment Analysis of Gene Expression in High Grade Serous Ovarian Cancer Reveals Tumor-Stoma Cross-Talk
- PART II
- Foreword
- Biological Dosimetry, Statistical Challenges: Biological Dosimetry after High-Dose Exposures to Ionizing Radiation
- Heterogeneous Correlation of Multi-Level Omics Data for the Consideration of Inter-Tumoural Heterogeneity
- Overview of Topics Related to Model Selection for Regression
- Understanding Plaque Overlap is Essential for Modelling Radiation Induced Atherosclerosis
- On the Use of Random Effect Models for Radiation Biodosimetry
- Modelling of the Radiation Carcinogenesis: the Analytic and Stochastic Approaches
- Bayesian Solutions to Biodosimetry Count Data Problems and Supporting Software
- Empirical Assessment of Gene Expression Biomarkers for Radiation Exposure
- Poisson-Weighted Estimation by Discrete Kernel with Application to Radiation Biodosimetry
- R Implementation of the Excess Relative Rate Model: Applications to Radiation Epidemiology
- Uncertainty Considerations Following a Mechanistic Analysis of Lung Cancer Mortality.
